Generate source code in the specified language based on a prompt.
AI agents invoke generate_code to trigger actions in FastMCP Boilerplate. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool generates executable source code based on a prompt. While the act of generating code is technically a Write operation (producing text/content), generated code is intended to be executed, and an AI agent could misuse this to produce malicious or harmful code. The primary risk is in the generated artifact being executed downstream.
From the tool's definition "Generate source code in the specified language based on a prompt"
Documented attack patterns abuse exactly the kind of access generate_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and FastMCP Boilerplate, and nothing reaches the server without passing your rules. This is the rule we recommend for generate_code:
{
"version": "1",
"default": "deny",
"tools": {
"generate_code": {
"limits": [
{
"counter": "generate_code_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}generate_code stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Generate source code in the specified language based on a prompt. It is categorised as a Execute tool in the FastMCP Boilerplate MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the FastMCP Boilerplate MCP server in PolicyLayer and add a rule for generate_code: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches FastMCP Boilerplate. Nothing to install.
generate_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the generate_code rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for generate_code. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
generate_code is provided by the FastMCP Boilerplate MCP server (rainer85ah/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from FastMCP Boilerplate, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
16 FastMCP Boilerplate tools catalogued and risk-classified — across an index of 43,000+ MCP servers.